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PRODID:-//University of Utah Math Department//Data-driven probabilistic modeling and high-performance computing: algorithms and applications to physical and biological systems//EN
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X-WR-CALNAME:Data-driven probabilistic modeling and high-performance computing: algorithms and applications to physical and biological systems
X-WR-CALDESC:Data-driven probabilistic modeling and high-performance computing: algorithms and applications to physical and biological systems at University of Utah Mathematics Department
X-WR-TIMEZONE:America/Denver
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UID:20170403T160000-paris-perdikaris@math.utah.edu
DTSTART;TZID=America/Denver:20170403T160000
DTEND;TZID=America/Denver:20170403T170000
DTSTAMP:20260922T150858Z
SUMMARY:Data-driven probabilistic modeling and high-performance computing: algorithms and applications to physical and biological systems
DESCRIPTION:Speaker: Paris Perdikaris;\, MIT\n\nThe analysis of complex physical and biological systems necessitates the accurate resolution of in- teractions across multiple spatio-temporal scales, the consistent propagation of information between concurrently coupled multi-physics processes, and the effective quantification of model error and …

LOCATION:JWB 335

URL:https://www.math.utah.edu/research/colloquia/2017-04-03-paris-perdikaris/
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